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    Data-Science

    Project Leader – Data Science

    Dipali ShahBy Dipali ShahNovember 3, 2025002 Mins Read
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    Project Leader - Data Science
    Project Leader - Data Science
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    🏢 Company Overview:
    Axtria – Ingenious Insights is a global leader in cloud software and data analytics, serving the life sciences and healthcare industries. Axtria helps clients transform their commercial operations through advanced data-driven decision-making, artificial intelligence, and analytics solutions. The company’s innovative platforms and expert teams empower businesses to optimize performance, enhance customer engagement, and accelerate growth.

    💼 Job Details:

    • Employment type: Full Time
    • Experience: 8 to 10 Years
    • Salary: 9L to 13L Yearly
    • Location: Remote
    • Work timing: 8:45 AM to 5:45 PM
    • Working Days: 5 Days
    • Education: Any Degree

    📝 Job Description:
    Axtria is seeking an experienced Project Leader – Data Science to lead a team of data scientists, analysts, and engineers in developing advanced analytics solutions. The ideal candidate will have a strong background in machine learning, statistical modeling, and data management, along with leadership skills to manage large-scale projects and client engagements. You will work closely with stakeholders to define project goals, deliver insights, and drive strategic decision-making using data-driven methodologies.

    🔑 Key Responsibilities:

    • Lead the end-to-end design, development, and deployment of data science projects
    • Manage a team of data scientists, analysts, and technical staff
    • Collaborate with business stakeholders to identify analytics opportunities and define project scope
    • Develop predictive and prescriptive models using statistical, ML, and AI techniques
    • Oversee data collection, cleaning, transformation, and feature engineering processes
    • Communicate technical findings to non-technical stakeholders in a clear, actionable manner
    • Ensure projects are delivered on time, within scope, and with high quality
    • Stay updated on emerging technologies, tools, and best practices in data science

    🛠️ Required Skills & Qualifications:

    • Master’s or Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
    • Proven experience leading data science teams and delivering analytics projects
    • Strong proficiency in Python, R, SQL, and ML frameworks (e.g., TensorFlow, Scikit-learn, PyTorch)
    • Solid understanding of machine learning algorithms, statistical methods, and data visualization
    • Experience with cloud platforms (AWS, Azure, or GCP)
    • Excellent problem-solving, communication, and stakeholder management skills
    • Ability to balance technical depth with business strategy

    🌟 Benefits:

    • Work with cutting-edge technologies and industry-leading experts
    • Leadership opportunity in a globally recognized analytics company
    • Collaborative, innovation-driven environment
    • Career advancement and continuous learning opportunities
    Apply Now
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    Dipali Shah

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